Bullet fix

Author: msdavidram

learn-pr/wwl/analyze-monitor-tune-ai-powered-business-solutions/includes/2-recommend-process-tools-monitoring-agents.md

@@ -28,49 +28,49 @@ Solution architects should recommend the processes for monitoring AI Agents acro
 
 ### 2.1 Establish a Monitoring Operating Model
 
-*A strong operational model ensures consistency, ownership, and accountability.
+* A strong operational model ensures consistency, ownership, and accountability.
 
 #### Key components:
 
-*Defined roles (Ops team, product owners, data engineers, architects)
+* Defined roles (Ops team, product owners, data engineers, architects)
 
-*Process workflows for incident response
+* Process workflows for incident response
 
-*Standardized metric definitions (creating a baseline with trends)
+* Standardized metric definitions (creating a baseline with trends)
 
-*Log review cadence (daily/weekly/monthly)
+* Log review cadence (daily/weekly/monthly)
 
-*Change management and version tracking
+* Change management and version tracking
 
-*Documentation of expected agent behaviors and constraints
+* Documentation of expected agent behaviors and constraints
 
 ### 2.2 Configure Guardrails and Threshold Alerts
 
-*Set thresholds for latency, exception volume, and unusual activity.
+* Set thresholds for latency, exception volume, and unusual activity.
 
-*Create automated alerts for guardrail triggers or tool invocation failures.
+* Create automated alerts for guardrail triggers or tool invocation failures.
 
-*Monitor for unexpected spikes in prompts indicating potential misuse.
+* Monitor for unexpected spikes in prompts indicating potential misuse.
 
 ### 2.3 Conduct Regular Quality Evaluations
 
-*Humanintheloop spot checks
+* Humanintheloop spot checks
 
-*Scenariobased evaluations
+* Scenariobased evaluations
 
-*Review lowconfidence outputs
+* Review lowconfidence outputs
 
-*Validate alignment with business rules or compliance requirements
+* Validate alignment with business rules or compliance requirements
 
 ### 2.4 Continuously Improve Based on Insights
 
-*Analyze logs and telemetry to find failure patterns.
+* Analyze logs and telemetry to find failure patterns.
 
-*Identify training needs for users.
+* Identify training needs for users.
 
-*Recommend prompt engineering improvements.
+* Recommend prompt engineering improvements.
 
-*Propose workflow adjustments or retraining of custom models (if applicable).
+* Propose workflow adjustments or retraining of custom models (if applicable).
 
 ## 3. Recommended Tools for Monitoring AI Agents
 
@@ -80,85 +80,85 @@ Solution architects should recommend the toolset that covers **observability**,
 
 #### Azure Monitor provides:
 
-*Application and agent telemetry
+* Application and agent telemetry
 
-*Dashboards for real-time* metrics
+* *Dashboards for real-time* metrics
 
-*Alert rules for anomalies
+* Alert rules for anomalies
 
-*Integration with Log Analytics Workspaces
+* Integration with Log Analytics Workspaces
 
 #### Use cases:
 
-*Monitor agent workflows built with Power Platform or custom services.
+* Monitor agent workflows built with Power Platform or custom services.
 
-*Track errors, latency, throughput, connector failures.
+* Track errors, latency, throughput, connector failures.
 
-*Build KQL-based queries for deep diagnostics.
+* Build KQL-based queries for deep diagnostics.
 
 ### 3.2 Microsoft 365 Admin Analytics (Usage & Adoption Trends)
 
 #### Useful for:
 
-*Understanding agent usage volume
+* Understanding agent usage volume
 
-*Tracking adoption and engagement
+* Tracking adoption and engagement
 
-*Identifying departments with low usage or operational barriers
+* Identifying departments with low usage or operational barriers
 
-*Measuring improvements week-over-week
+* Measuring improvements week-over-week
 
 ### 3.3 Copilot & Agent Analytics Dashboards
 
 #### When available in an organization's tenant, Copilot analytics can provide:
 
-*Agent invocation frequency
+* Agent invocation frequency
 
-*Task completion trends
+* Task completion trends
 
-*Common user queries
+* Common user queries
 
-*Productivity pattern insights
+* Productivity pattern insights
 
-*Error or guardrail-trigger events
+* Error or guardrail-trigger events
 
 ### 3.4 Power Platform Admin Center (Environment-Level Monitoring)
 
 #### Provides:
 
-*Environment health
+* Environment health
 
-*Connector usage and limits
+* Connector usage and limits
 
-*Flow telemetry (for agents using workflows)
+* Flow telemetry (for agents using workflows)
 
-*DLP rule impact visibility
+* DLP rule impact visibility
 
 ### 3.5 Foundry or Organizational Observability Platforms
 
 #### Enterprises may adopt centralized observability platforms (example: Foundry-like solutions, if present in the environment) to unify:
 
-*Multisystem logs
+* Multisystem logs
 
-*Event traces
+* Event traces
 
-*Cross-environment dashboards
+* Cross-environment dashboards
 
-*AI model execution insights
+* AI model execution insights
 
-*These platforms reduce fragmentation and provide a single-pane-of-glass view for complex agent ecosystems.
+* These platforms reduce fragmentation and provide a single-pane-of-glass view for complex agent ecosystems.
 
 ### 3.6 Custom Dashboards for Enterprise AI Agents
 
 #### Solution architects often design:
 
-*KPI dashboards in Power BI
+* KPI dashboards in Power BI
 
-*Heatmaps of usage
+* Heatmaps of usage
 
-*Drift detection visualizations
+* Drift detection visualizations
 
-*Compliance trend reports
+* Compliance trend reports
 
 #### Example: Agent Health Summary
 
@@ -175,15 +175,15 @@ Solution architects should recommend the toolset that covers **observability**,
 
 #### Best Practices
 
-*Always centralize logs.
+* Always centralize logs.
 
-*Standardize naming conventions.
+* Standardize naming conventions.
 
-*Define clear SLAs for agent responsiveness.
+* Define clear SLAs for agent responsiveness.
 
-*Automate alerting for critical business workflows.
+* Automate alerting for critical business workflows.
 
-*Integrate monitoring outputs into monthly operational reviews.
+* Integrate monitoring outputs into monthly operational reviews.
 
 ## References